How to use from the
Use from the
Diffusers library
# Gated model: Login with a HF token with gated access permission
hf auth login
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("quarterturn/krea2_nichijou")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

A krea2 bf16 rank 128 style LoRA for making Nichijou images.

A wild Nichijou image appears!

Trained on my Nichijou dataset https://huggingface.co/datasets/quarterturn/nichijou-hd-json-captioned.

The dataset was character tagged (to the best of qwen3.6-35b-a3b's ability) so you should be able to make a scene with any main character just by name, though you'll still need to desrcribe their state of dress, since that varies in the actual anime. Checkpoints to step 20000 are provided, which is the final. I think 18500 or later is good.

Downloads last month
121
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for quarterturn/krea2_nichijou

Base model

krea/Krea-2-Raw
Adapter
(382)
this model